In this paper,in view of the spatial pattern of forest resources is closely related to theTopographic information, and the differences of stand growth itself, based on the analysis ofthe topographic information, the use of statistical methods to study the spatial pattern of forestresources. Based on the forest inventory data of Longquan City as the information source, andthe relationship between the stand distribution and terrain of Cunninghamia lanceolata, Pinusmassoniana is analyzed; By using DPS software, three tree species for the fitting of standgrowth model to determine the increment of every subcompartment; Using statistical analysismodule of ArcGIS and GS+software, the statistical analysis was carried out on the standgrowth, including spatial correlation analysis, semivariogram analysis,kriging interpolationanalysis, etc. On this basis, analyzed the spatial pattern of forest resources of LongquanCity.Research conclusions are as follows:(1) Cunninghamia lanceolata forest has the largest distribution,followed by Oak forests,and Pinus massoniana forest is the least in Longquan City; Cunninghamia lanceolata forestis mainly distributed in the region of250-800meters above sea level,where the slope isrelatively slow Cunninghamia lanceolata is a typical native tree species in Longquan City;Oak forest due to people’s interference, relative distribution at higher elevations, where theslope is steeper; Pinus massoniana forest was mainly distributed in semi-sunny slope andsunny slope, and the shady slope has the least distribution.(2) Forest age-class structure in Longquan city is not reasonable. Young and middle-agedforest has a large proportion,and the proportion of near-matureã€mature or over-mature forestsis small.This indicates that the harvest of near-matureã€mature or over-mature forests is moreserious in Longquan City.(3) In the analysis of anisotropic, In the range of15000m,growth in the curves of4directionsare basically the same,with the increase of distance,rising curve of variationfunction,to reach the vicinity of the sill.Beyond this range,showed some differences in4directions.0°and45°direction change of the curve, with the increase of distance, risingsemivariogram curve, to reach the vicinity of the sill, then gradually rising trend;90°and135°direction on the base value increased first and then decreased. In the analysis of theisotropic, the exponential model is the best model of semivariogram of forest growth.Therange of spatial autocorrelation of stand growth is14850.36meters,and substrate effect ofstand growth quantity C0/(C0+C) is31%, belonging to medium spatial correlation.(4) Geostatistical interpolation results showed that growth of the central region ofLongquan city distribution than the northwest and Southeast regions.(5) Longquan city land itself has superior natural conditions brought about by the zone ofthe rich forest resources, despite the ups and downs of varied terrain, but the southeast hillsmountain landform, provide a favorable environment for tree growth, showing a terrain insome extent, but humans are for the operation and management of the forest in a certaindegree changes in the natural forest spatial distribution pattern. |